1,721,567 research outputs found

    Insulin-like growth factor system and sporadic malignant melanoma.

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    Insulin and insulin-like growth factors (IGFs) are important regulators of energy metabolism and growth. Several findings have outlined an important role played by this family of molecules in both tumor maintenance and development. Despite the established contribution of the IGF system in carcinogenesis, little and contrasting data have been reported concerning the intertwined relationships between melanoma and this family of molecules. The present minireview aims to summarize the main topics and evidence concerning this malignant skin cancer, with a focus on the following: i) melanoma and cell proliferation effects induced by the IGF system, ii) in vitro and in vivo experimental data, and iii) targeting studies. Because of consistent findings regarding the role of the IGF-1 receptor in the modulation of IGF-1 activity, possible therapeutic strategies combining the use of antisense oligonucleotides against IGF-1 receptor mRNA could be applied in the future

    Circulating fetal cell-free DNA and prenatal molecular diagnostics: are we ready for consensus?

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    Abstract Circulating fetal cell-free DNA (cffDNA) is emerging as the most reliable known target for prenatal molecular diagnostics. Different points of view are expressed in literature regarding the safe use of cffDNA for all types of molecular tests, above all those used to detect maternal DNA rather than fetal mutation. The aim of the present study was therefore to achieve consensus on guidelines conducive to standardizing current procedures, which differ between laboratories, and to design stringent technical protocols for the analysis of cffDNA

    Is quantitative real time polymerase chain reaction MCAM transcript assay really suitable for prognostic and predictive management of melanoma patients?

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    Background: Recent advances in next generation sequencing (NGS) technology have enabled comprehensive and accurate screening of the entire genomic region of BRCA1/2 genes and, to date, many studies report the effectiveness of these technologies. Here we show that Gene Scan (GS) labeling Quality Control (QC), performed before massive parallel pyrosequencing, coupled with Multiple Amplicon Quantification software (MAQ-S) analysis is a rapid and powerful tool in the detection of deleterious BRCA mutations carried by different patients. Methods: GS labeling QC assay was performed according to the manufacturers' instructions and MAQ-S software was employed for analysis results. Results: GS labeling QC was able to detect 14 different BRCA frameshift mutations in our patients. In addition, two novel BRCA mutations (c.1893_1894in5TTAAGCCCACAAAT in BRCA1 gene and c.9413_9414insT in BRCA2 gene) were identified. Conclusion: We prove that a simple QC step may represent a valid and useful tool for a rapid detection of frameshift mutations in BRCA genes. For this reason, we recommend using this approach before massive parallel sequencing. (C) 2014 Elsevier B.V. All rights reserved

    Detection of BRCA1/2 large genomic rearrangements in breast and ovarian cancer patients: an overview of the current methods

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    Introduction: Currently, genetic testing of BRCA1/2 genes includes screening for single-nucleotide variants, small insertions/deletions, and copy number variations (CNVs). In fact, many studies document the involvement of BRCA1/2 gene rearrangements in genetic predisposition to breast and ovarian cancer. Large genomic rearrangements (LGRs) of BRCA1 may account for up to one-third of all disease-causing alterations in various populations, while LGRs in BRCA2 are less frequently observed. Areas covered: We aimed to present an overview of current technologies employed in molecular diagnosis of BRCA1/2 LGRs. The most relevant literature papers, showing the application of new strategies, were considered. Expert opinion: Currently, the progress of next-generation sequencing (NGS) technologies allows for the validation of new pipelines able to provide rapid and effective results, ensuring the sensitivity and specificity requested for the detection of BRCA1/2 LGRs. Multiplex ligation-dependent probe amplification remains the gold standard to confirm NGS CNVs results and to perform fast screening in families where a pathogenic rearrangement has been detected in a proband

    The plodding diagnosis of monogenic autoinflammatory diseases in childhood: from the clinical scenery to laboratory investigation.

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    Autoinflammatory diseases (AID) are inherited errors of innate immunity which, although individually uncommon, collectively set up an emerging chapter of medicine. Careful analysis and identification of AID is essential to prompt effective treatment and improve survival and quality of life in these patients. Research into pediatric AID is lagging behind studies in adults, though a better understanding of AID in infancy could lead to improved diagnostic protocols and reduce long-term disability. This review provides a detailed summary of monogenic AID in childhood to help pediatricians correctly recognize these conditions and also highlight recent developments in the laboratory diagnostic work-up

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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